Subexponentialiy of densities of infinitely divisible distributions

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY
Muneya Matsui
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引用次数: 2

Abstract

We show the equivalence of three properties for an infinitely divisible distribution: the subexponentiality of the density, the subexponentiality of the density of its L\'evy measure and the tail equivalence between the density and its L\'evy measure density, under monotonic-type assumptions on the L\'evy measure density. The key assumption is that tail of the L\'evy measure density is asymptotic to a non-increasing function or is eventually non-increasing. Our conditions are novel and cover a rather wide class of infinitely divisible distributions. Several significant properties for analyzing the subexponentiality of densities have been derived such as closure properties of [ convolution, convolution roots and asymptotic equivalence ] and the factorization property. Moreover, we illustrate that the results are applicable for developing the statistical inference of subexponential infinitely divisible distributions which are absolutely continuous.
无限可分分布密度的次指数性
在L维测度密度的单调类型假设下,我们证明了无穷可分分布的三个性质的等价性:密度的次指数性、其L维测度的密度的次幂指数性以及密度与其L维测度之间的尾等价性。关键的假设是L’evy测度密度的尾部是非递增函数的渐近性,或者最终是非递增的。我们的条件是新颖的,涵盖了一类相当广泛的无限可分分布。导出了分析密度次指数性的几个重要性质,如[卷积,卷积根和渐近等价]的闭包性质和因子分解性质。此外,我们还证明了这些结果适用于发展绝对连续的亚指数无限可分分布的统计推断。
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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